Main content

This registration is a frozen, non-editable version of this project

Home

Menu

Loading wiki pages...

View
Wiki Version:
In Many Labs 2, we will employ an expanded version of the Many Labs paradigm to investigate a substantial number of new effects and further examine findings from Many Labs 1. The Many Labs project (Klein et al., 2014, osf.io/wx7ck) replicated 13 classic and contemporary psychological effects with 36 different samples/settings (N = 6344). The results of that study showed that: (a) variations in sample and setting had little impact on observed effect magnitudes, (b) when there was variation in effect magnitude across samples, it occurred in studies with large effects, not studies with small effects, (c) overall, replicability was much more dependent on the effect of study rather than the sample or setting in which it was studied, (d) this held even across lab-web and across nations, and (e) two effects in a subdomain with substantial debate about reproducibility - flag and currency priming - showed no evidence of an effect in individual samples or in the aggregate. In Many Labs 2, we will employ an expanded version of the Many Labs paradigm to investigate a substantial number of new effects and further examine the earlier findings. In particular, the study will include: (a) effects expected to vary in detectable effect size, (b) effects that are thought to vary across cultural contexts and others that are not, (c) effects that are plausibly contingent on other features of the sample or setting, and (d) effects that are known to be replicable and others that are untested - including additional examples from “social priming” and other areas. Many Labs 2 is an open collaboration. Individuals and team are invited to join the collaboration and conduct a data collection with their own samples. To be included in Many Labs 2, samples must be at least 80 participants and will be collected between August 15, 2014 and December 1, 2014. All contributors that meet data collection requirements will receive authorship on the final report. To inquire or join the project, email manylabsproject@gmail.com. Contributors should join by April 10, 2014. Later participation may be possible but is not guaranteed. We are particularly interested in recruiting contributors from as many nations and cultural contexts within nations as possible including student and non-student samples. There are seven phases for Many Labs 2. In order to meet the assertive timeline, some later phases will commence while earlier phases are in process. For example, the report will be written during data collection. Study Nomination: Identifying effects for possible inclusion (Complete by February 10, 2014). Study can be nominated [here][1]. Selection: Selecting effects based on project goals and design constraints (Complete by February 28, 2014) Implementation: Creating study script and formal proposal for peer review (Complete by April 10, 2014) Peer review: Formal prospective review through Perspectives on Psychological Science Registered Replication Reports submission process (Complete by July 15, 2014) Revision: Updating of implementation based on peer review (Complete by August 15, 2014) Data collection: All samples collected (Complete by December 1, 2014) Reporting: Analysis, report writing, and submission (Complete by January 1, 2015) Read the full proposal [here][2] [1]: https://www.google.com/url?q=https://docs.google.com/forms/d/1RffE4vP20fQ-LYZCVdRj3IHjvM8dzreVq3xaV8EeA2s/viewform [2]: https://docs.google.com/document/d/141o2U8ZCeRMkr0gfz21RiUEICI-Udt1w8LPSPKPEzU0/edit?usp=sharing
OSF does not support the use of Internet Explorer. For optimal performance, please switch to another browser.
Accept
This website relies on cookies to help provide a better user experience. By clicking Accept or continuing to use the site, you agree. For more information, see our Privacy Policy and information on cookie use.
Accept
×

Start managing your projects on the OSF today.

Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery.